I.P. (Ivo) de Jong, MSc

Lecturer/PhD Candidate

Faculty of Science and Engineering

Telephone:

+31 50 36 36533

E-mail:

ivo.de.jong rug.nl

Homepage ORCID Research Portal

Publications

Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models

Borszukovski, M., de Jong, I. P. & Valdenegro-Toro, M., 4-Apr-2025, (Submitted) arXiv, 19 p.

Research output: Working paper › Preprint › Academic

NLP Methods May Actually Be Better Than Professors at Estimating Question Difficulty

Zotos, L., de Jong, I. P., Valdenegro-Toro, M., Sburlea, A. I., Nissim, M. & van Rijn, H., 5-Aug-2025, (Submitted) 2nd International Workshop on AI in Society, Education and Educational Research (AISEER). CEUR Workshop Proceedings, 10 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Uncertainty Quantification for Motor Imagery BCI - Machine Learning vs. Deep Learning

Suurmeijer, J., de Jong, I. P., Valdenegro-Toro, M. & Sburlea, A. I., 10-Jul-2025, (Submitted) arXiv.

Research output: Working paper › Preprint › Academic

How disentangled are your classification uncertainties?

de Jong, I. P., Sburlea, A. I. & Valdenegro-Toro, M., 22-Aug-2024, 11 p.

Research output: Working paper › Preprint › Academic

Transferring BCI models from calibration to control: Observing shifts in EEG features

de Jong, I. P., van den Wittenboer, L., Valdenegro-Toro, M. & Sburlea, A. I., 9-Sept-2024, Proceedings of the 9th Graz Brain-Computer Interface Conference 2024. Müller-Putz, G., Kostoglou, K., Oberndorfer, M. E. & Wriessnegger, S. C. (eds.). Verlag der Technischen Universität Graz, p. 156-161 6 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

All (8) publications

View full research profile

I.P. (Ivo) de Jong, MSc

Publications

Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models

NLP Methods May Actually Be Better Than Professors at Estimating Question Difficulty

Uncertainty Quantification for Motor Imagery BCI - Machine Learning vs. Deep Learning

How disentangled are your classification uncertainties?

Transferring BCI models from calibration to control: Observing shifts in EEG features

Uncertainty Quantification for cross-subject Motor Imagery classification

Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation

Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review